Data Marketplace Product Owner

Job Description

The Position

We are seeking an innovative Data Marketplace Product Owner to drive the evolution of Discovers marketplace experience and enable our connected data-ecosystem transformation. As part of the Discover product leadership team you will own the marketplace product that connects data producers and consumers across The enterprise enabling a thriving ecosystem where data products are shared consumed and valued as first-class products. This role requires a unique blend of product management excellence deep understanding of data marketplace dynamics and the ability to build experiences that drive adoption trust and value creation in a federated connected data-ecosystem architecture.

Reporting to the Group Product Manager for Discover you will work alongside the Search and Cataloging Product Managers to deliver a cohesive platform that transforms how Our employees discover access and derive value from enterprise data products.

What will you do

• Define and execute the product vision strategy and roadmap for the Discover Marketplace focused on enabling seamless interactions between data product producers and consumers across divisions.
• Drive consumer growth initiatives by developing features that enhance user experience increase data product adoption and expand the active user base across all divisions.
• Design and implement mechanisms that showcase data product value including usage metrics consumer feedback ratings and social proof features that build trust and discoverability.
• Create engagement loops that encourage data product producers to publish high-quality well-documented products and motivate consumers to explore request access and provide feedback.
• Develop and track marketplace health metrics including active users data product adoption rates time-to-access user satisfaction and cross-domain data consumption patterns.
• Build marketplace capabilities that support decentralized domain ownership while ensuring global interoperability and standardization across the connected data-ecosystem.
• Partner with data governance teams to embed federated governance principles into the marketplace experience enabling domains to maintain autonomy while adhering to enterprise standards.
• Design self-service workflows for data product registration access requests approval processes and provisioning that balance ease of use with compliance requirements.
• Implement features that support data product contracts SLAs and quality commitments making governance visible and actionable for both producers and consumers.
• Enable polyglot access patterns that allow diverse user personas (analysts data scientists ML engineers application developers) to consume data products in their native modes.
• Build scalable tools and interfaces that empower data stewards to manage data products monitor usage respond to access requests and maintain product health.
• Create operational dashboards and analytics that provide visibility into marketplace performance adoption trends and operational bottlenecks.
• Design automation capabilities that reduce manual overhead for common steward tasks including access provisioning compliance checks and usage reporting.
• Develop templated workflows and reusable components that enable divisions to extend marketplace capabilities without requiring core platform changes.
• Establish feedback loops (positive and negative) that continuously improve the marketplace based on producer and consumer insights.
• Design marketplace features that support the convergence of operational and analytical data products enabling real-time and batch consumption patterns.
• Build discovery and access mechanisms that work across diverse data product types (APIs event streams data sets ML models) and underlying platforms.
• Create interoperability standards and showcase capabilities that encourage cross-domain data product composition and value creation.
• Enable data product addressability and versioning that maintains continuity of access even as products evolve.
• Support integration patterns that allow data products to be consumed by both human users and automated systems.
• Translate business requirements from diverse stakeholders across divisions into actionable product specifications for engineering teams.
• Prioritize and manage the product backlog using data-driven prioritization frameworks that maximize business value and align with Discover roadmap themes.
• Drive continuous product discovery through user research usability testing and field visits to understand pain points and opportunities across divisions.
• Lead release planning and execution including go-to-market strategies enablement materials training content and stakeholder communications.
• Serve as the bridge between technical teams business stakeholders data stewards and end users ensuring transparency and alignment on priorities.
• Monitor total cost of ownership (TCO) and optimize for operational efficiency scalability and performance.

Qualifications Skills & Experience Required

• Bachelors or Masters degree in Computer Science Information Systems Business Engineering or related field.
• 7 years of product management experience in enterprise software data platforms marketplace/exchange platforms or SaaS products.
• Proven track record of building and scaling marketplace platform or two-sided network products that connect producers and consumers.
• Deep understanding of data product concepts connected data-ecosystem architecture and federated governance principles.
• Experience designing self-service experiences for technical and business users with varying levels of data literacy.
• Strong ability to define and measure product success using quantitative metrics (adoption engagement satisfaction) and qualitative feedback.
• Demonstrated success in driving user adoption and behavior change in enterprise environments.
• Experience working with cross-functional teams including engineering UX/UI data governance security and business stakeholders.
• Excellent communication and stakeholder management skills with ability to influence without authority across organizational boundaries.
• Strong analytical and problem-solving skills for assessing complex business problems and designing elegant solutions.
• Proficiency with agile methodologies lean product development and continuous delivery practices.
• Familiarity with cloud platforms (AWS preferred) APIs and distributed systems concepts.

Nice to have

• Experience with data governance frameworks and tools (e.g. Collibra Alation Informatica).
• Understanding of connected data-ecosystem data fabric or modern data architecture patterns.
• Background in building developer platforms API marketplaces or data exchange platforms.
• Knowledge of access control models data security and compliance requirements (GDPR HIPAA etc.).
• Experience with usage analytics product instrumentation and A/B testing frameworks.
• Familiarity with enterprise data cataloging metadata management and semantic data modeling.
• Understanding of data economics data product pricing models or internal transfer pricing.
• Experience in pharmaceutical healthcare or highly regulated industries.
• Knowledge of community building network effects and engagement strategies for platform products.
• Hands-on experience with data engineering workflows ETL/ELT processes or data pipeline orchestration.

What we offer

• Exciting work in a great team global projects international environment
• Opportunity to learn and grow professionally within the company globally
• Hybrid working model flexible role pattern (e.g. even 80% full-time is possible in justified cases)
• Pension and health insurance contributions
• Internal reward system plus referral programme
• 5 weeks annual leave 5 sick days 15 days of certified sick leave paid above statutory requirements annually 40 paid hours annually for volunteering activities 12 weeks of parental contribution
• Cafeteria for tax free benefits according to your choice (meal vouchers sport culture health travel etc.) Multisport Card
• Vodafone Raiffeisen Bank and Foodora discount programmes
• Up-to-date laptop and iPhone
• Parking in the garage showers refreshments massage chairs library music corner
• Competitive salary incentive pay and many more

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Search Firm Representatives Please Read Carefully
Merck & Co. Inc. Rahway NJ USA also known as Merck Sharp & Dohme LLC Rahway NJ USA does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place introductions are position specific. Please no phone calls or emails.

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